Fuzzy Improvement on Luenberger Observer Based Induction Motor Parameters Estimation for High Performances Sensorless Drive
| Autor: | Zakaria Boulghasoul, Zineb Kandoussi, Abdelhadi Elbacha, Abdelouahed Tajer |
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| Rok vydání: | 2020 |
| Předmět: |
Lyapunov function
0209 industrial biotechnology Vector control Observer (quantum physics) Stator Computer science Rotor (electric) 020208 electrical & electronic engineering 02 engineering and technology Fuzzy logic law.invention symbols.namesake 020901 industrial engineering & automation Control theory law 0202 electrical engineering electronic engineering information engineering symbols State observer Electrical and Electronic Engineering Induction motor |
| Zdroj: | Journal of Electrical Engineering & Technology. 15:2179-2197 |
| ISSN: | 2093-7423 1975-0102 |
| DOI: | 10.1007/s42835-020-00495-6 |
| Popis: | In this paper we present a new improved sensorless vector control of induction motor based on an improved adaptive Luenberger observer. The proposed observer is designed to estimate both speed and motor parameters from measured stator currents, stator voltages and estimated rotor fluxes. The proposed sensorless drive has for purpose to compensate at the same time both stator resistance and rotor time constant inverse variation, which change during operation. Indeed, in the proposed adaptive Luenberger observer, a Fuzzy Logic Controller will be adopted as an adaptation mechanism. The proposed observer stability is proved by the Lyapunov’s theorem and its feasibility is verified by series of experimental tests. The relevant results and the effectiveness of the improved system are clearly shown through obtained experimental results with an induction motor of 1 kW driven by dSPACE system. |
| Databáze: | OpenAIRE |
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